Precision Medicine Landscape of Genomic Testing for Patients With Cancer in the National Institutes of Health All of Us Database Using Informatics Approaches

JCO Clin Cancer Inform. 2022 Jan:6:e2100152. doi: 10.1200/CCI.21.00152.

Abstract

Purpose: The rapid growth of biomedical data ecosystems has catalyzed research for oncology and precision medicine. We leverage federal cloud-based precision medicine databases and tools to better understand the current landscape of precision medicine and genomic testing for patients with cancer.

Methods: Retrospective observational study of genomic testing for patients with cancer in the National Institutes of Health All of Us Research Program, with the cancer cohort defined as having at least two documented or reported cancer diagnoses.

Results: There were 5,678 (1.8%) All of Us participants in the cancer cohort, with a significant difference between cancer status by age category, sex, race, and ethnicity (P < .001 for all). There were 295 (5.2%) patients with cancer who received genomic testing compared with 6,734 (2.2%) of noncancer patients, with 752 genomic tests commonly focused on gene mutations (primarily pharmacogenomics), molecular pathology, or clinical cytogenetic reports.

Conclusion: Although not yet ubiquitous, diverse clinical genomic analyses in oncology can set the stage to grow the practice of precision medicine by integrating research patient data repositories, cancer data ecosystems, and biomedical informatics.

Publication types

  • Observational Study
  • Research Support, N.I.H., Extramural

MeSH terms

  • Databases, Factual
  • Ecosystem
  • Genetic Testing
  • Humans
  • National Institutes of Health (U.S.)
  • Neoplasms* / diagnosis
  • Neoplasms* / genetics
  • Population Health*
  • Precision Medicine
  • United States / epidemiology